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Observability of Power-Distribution Systems pp 65–88Cite as

Small-Model and Measurement-Error Sensitivities

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Abstract

In this chapter, the local sensitivities of the estimated state variables with respect to the uncertain line lengths and inaccurate (pseudo-) measurements in a three-phase distribution network for different measurement configurations and different estimators are investigated. The approach with a perturbation of the KKT conditions, which is agnostic to the choice of the estimator, is presented and implemented. The analysis was performed for a full three-phase branch-network model. The implemented estimators were the LAV, WLS, and SHGM. Based on the results and the selected optimization criterion, the optimal estimator is proposed.

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Authors and Affiliations

  1. Jožef Stefan International Postgraduate School, Ljubljana, Slovenia

    Urban Kuhar

  2. Jožef Stefan Institute, Ljubljana, Slovenia

    Gregor Kosec

  3. Jožef Stefan Institute, Ljubljana, Slovenia

    Aleš Švigelj

  4. Jožef Stefan International Postgraduate School, Ljubljana, Slovenia

    Aleš Švigelj

Authors
  1. Urban Kuhar
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  2. Gregor Kosec
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  3. Aleš Švigelj
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Corresponding author

Correspondence to Urban Kuhar .

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Kuhar, U., Kosec, G., Švigelj, A. (2020). Small-Model and Measurement-Error Sensitivities. In: Observability of Power-Distribution Systems. SpringerBriefs in Applied Sciences and Technology. Springer, Cham. https://doi.org/10.1007/978-3-030-39476-9_4

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  • DOI: https://doi.org/10.1007/978-3-030-39476-9_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-39475-2

  • Online ISBN: 978-3-030-39476-9

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